about
Derivation of genetic interaction networks from quantitative phenotype dataEpistasis--the essential role of gene interactions in the structure and evolution of genetic systemsCompensatory evolution and the origins of innovationsIdentifying druggable disease-modifying gene productsInteraction between interleukin 3 and dystrobrevin-binding protein 1 in schizophreniaInteractions between genes involved in the antioxidant defence system and breast cancer riskUntangling the web of functional and physical interactions in yeastThe causes of epistasisGenetic interaction networks: better understand to better predictYeast 5 – an expanded reconstruction of the Saccharomyces cerevisiae metabolic networkThe genetic basis of natural variation in oenological traits in Saccharomyces cerevisiae.A genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicingGcn5p plays an important role in centromere kinetochore function in budding yeast.Comprehensive characterization of genes required for protein folding in the endoplasmic reticulumRetroactivity in the Context of Modularly Structured Biomolecular SystemsThe genetic landscape of a cellEvolutionary plasticity and innovations in complex metabolic reaction networksEpistatic interaction maps relative to multiple metabolic phenotypesGenetic co-occurrence network across sequenced microbesSearching for synergies: matrix algebraic approaches for efficient pair screeningA network inference method for large-scale unsupervised identification of novel drug-drug interactionsSimulating Serial-Target Antibacterial Drug Synergies Using Flux Balance AnalysisThe emergence of modularity in biological systemsExperimental evolution of protein-protein interaction networksCo-evolutionary networks of genes and cellular processes across fungal speciesA framework for evolutionary systems biologyMaximal extraction of biological information from genetic interaction dataDetecting High-Order Epistasis in Nonlinear Genotype-Phenotype MapsA Philosophical Perspective on Evolutionary Systems BiologyA combinatorial approach to detecting gene-gene and gene-environment interactions in family studies.FastANOVA: an Efficient Algorithm for Genome-Wide Association Study.Recursive expectation-maximization clustering: a method for identifying buffering mechanisms composed of phenomic modules.An integrated approach to characterize genetic interaction networks in yeast metabolism.Genotype patterns at PICALM, CR1, BIN1, CLU, and APOE genes are associated with episodic memoryCircuit-level input integration in bacterial gene regulation.Systematic profiling of Caenorhabditis elegans locomotive behaviors reveals additional components in G-protein Gαq signalingModular biological function is most effectively captured by combining molecular interaction data typesFisher's geometric model of adaptation meets the functional synthesis: data on pairwise epistasis for fitness yields insights into the shape and size of phenotype spaceMapping haplotype-haplotype interactions with adaptive LASSOA strategy for extracting and analyzing large-scale quantitative epistatic interaction data.
P2860
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P2860
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh-hant
name
Modular epistasis in yeast metabolism.
@en
Modular epistasis in yeast metabolism.
@nl
type
label
Modular epistasis in yeast metabolism.
@en
Modular epistasis in yeast metabolism.
@nl
prefLabel
Modular epistasis in yeast metabolism.
@en
Modular epistasis in yeast metabolism.
@nl
P356
P1433
P1476
Modular epistasis in yeast metabolism.
@en
P2093
Daniel Segrè
Roy Kishony
P2888
P356
10.1038/NG1489
P407
P577
2004-12-12T00:00:00Z